Integration of Cyber Threat Hunting and SocioPolitical Risk Assessment for a Hybrid PredictiveModel for Enhanced Global Security
Ananya Das, Hussain Azath, Subhash Chandra Patel, Pushpinder Singh Patheja · International Journal of Wireless and Microwave Technologies · 2025
The new and emerging challenges posed by the convergence of cyber threats and socio-political tensions have risen as one of the core formidable threats to the present global security landscape.This paper proposes a hybrid predictive model intended to act against these real-world multidimensional attack vectors.The model integrates cyber threat hunting techniques with socio-political risk assessment methodologies to comprehensively forecast consequent cybersecurity threats to social unrest scenarios.Cyber threat data is collected from sources such as the Offensive Defensive-Intrusion Detection System (OD-IDS2022) and the Aegean Wi-Fi Intrusion Dataset (AWID3), and social terror attack information is gathered from the Global Database of Events, Language, and Tone (GDLET) Project and Armed Conflict Location & Event Data (ACLED) to comprise the bidirectional dataset for the model that contains views from both cyber and socio-political risk landscapes.The model adopts a holistic, robust predictive capability through k-fold cross-validation and feature importance evaluation implementation techniques.This multidisciplinary approach offers a synoptic understanding of emerging and future security threats and enables the execution of proactive measures to secure national and transnational borders.